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Measurements revealing Challenges in Radar Sensor Modeling for Virtual Validation of Autonomous Driving | IEEE Conference Publication | IEEE Xplore

Measurements revealing Challenges in Radar Sensor Modeling for Virtual Validation of Autonomous Driving


Abstract:

The virtual validation of automated driving functions requires meaningful simulation models of environment perception sensors such as radar, lidar, and cameras. There doe...Show More

Abstract:

The virtual validation of automated driving functions requires meaningful simulation models of environment perception sensors such as radar, lidar, and cameras. There does not yet exist an unrivaled standard for perception sensor models, and radar especially lacks modeling approaches that consistently produce realistic results. In this paper, we present measurements that exemplify challenges in the development of meaningful radar sensor models. We highlight three major challenges: multi-path propagation, separability, and sensitivity of radar cross section to the aspect angle. We also review previous work addressing these challenges and suggest further research directions towards meaningful automotive radar simulation models.
Date of Conference: 04-07 November 2018
Date Added to IEEE Xplore: 09 December 2018
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Conference Location: Maui, HI, USA

References

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